Deloitte - Arlington, VA

posted 16 days ago

Full-time - Mid Level
Arlington, VA
10,001+ employees
Professional, Scientific, and Technical Services

About the position

The SQL Development Specialist at Deloitte plays a crucial role in supporting the performance management process for client agencies within the Government and Public Services sector. This position involves working closely with an agile development team to implement and analyze SQL code, support data warehouse concepts, and contribute to business intelligence and data analytics efforts. The role requires a strong technical background in SQL, data modeling, and experience with various database technologies, while also emphasizing collaboration and continuous learning.

Responsibilities

  • Gather, define, document, analyze and implement SQL code.
  • Develop, execute, document, and provide guidance on unit test plans, test data, and test results.
  • Support data warehouse concepts and relational databases.
  • Test, debug, and troubleshoot in a production environment.
  • Hands-on technical and functional work with Oracle, PostgreSQL, Informatica, MicroStrategy, custom web applications, and AWS.
  • Support a business intelligence and data analytics team with requirements and functional & technical testing.
  • Further develop technical skills through working groups and trainings.

Requirements

  • Bachelor's degree required.
  • 3+ years of experience in SQL format/data modeling, testing, and implementing SQL code.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Active TS clearance or higher required.

Nice-to-haves

  • Master's degree preferred.
  • Familiarity and experience with the Intelligence Community.
  • Keen interest in learning and using the latest software tools, methods, and technologies to solve real world problem sets vital to national security.
  • Experience in data warehouse concepts, test plan creation, and debugging/troubleshooting in a production environment.
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